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Health Information Science

8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Hua Wang

    1. Victoria University, Footscray, Australia

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  2. Siuly Siuly

    1. Victoria University, Footscray, Australia

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  3. Rui Zhou

    1. Swinburne University of Technology, Hawthorn, Australia

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  4. Fernando Martin-Sanchez

    1. Instituto de Salud Carlos III, Madrid, Spain

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  5. Yanchun Zhang

    1. Victoria University, Footscray, Australia

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  6. Zhisheng Huang

    1. Vrije University, Amsterdam, The Netherlands

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11837)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: HIS 2019.

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About this book

This book constitutes the refereed proceedings of the 8th International Conference on Health Information Science, HIS 2019, held in Xi’an, China, in October 2019.

The 14 full papers and 14 short papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections named: Medical Information System and Platform; Mining Medical Data; EEG and ECG; Medical Image; Mental Health; and Healthcare.

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Table of contents (28 papers)

  1. Front Matter

    Pages i-xiii
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  2. Medical Information System and Platform

    1. Front Matter

      Pages 1-1
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    2. DocKG: A Knowledge Graph Framework for Health with Doctor-in-the-Loop

      • Ming Sheng, Jingwen Wang, Yong Zhang, Xin Li, Chao Li, Chunxiao Xing et al.
      Pages 3-14

    3. At Home Genetic Testing Business Process Management Platform

      • Jitao Yang
      Pages 15-22

    4. A Smart Health-Oriented Traditional Chinese Medicine Pharmacy Intelligent Service Platform

      • Lei Hua, Yuntao Ma, Xiangyu Meng, Bin Xu, Jin Qi
      Pages 23-34

    5. Research on a Blockchain-Based Medical Data Management Model

      • Xudong Cao, Huifen Xu, Yuntao Ma, Bin Xu, Jin Qi
      Pages 35-44

  3. Mining Medical Data (I)

    1. Front Matter

      Pages 45-45
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    2. Identifying Candidates for Medical Coding Audits: Demonstration of a Data Driven Approach to Improve Medicare Severity Diagnosis-Related Group Coding Compliance

      • Yunyi Feng, Simon Lin, En-Ju Lin, Lesley Farley, Yungui Huang, Chang Liu
      Pages 47-57

    3. Classification of Skin Pigmented Lesions Based on Deep Residual Network

      • Yunfei Qi, Shaofu Lin, Zhisheng Huang
      Pages 58-67

    4. Identifying lncRNA Based on Support Vector Machine

      • Yongmin Li, Yang Ou, Zhe Xu, Lejun Gong
      Pages 68-75

    5. Research on the Evaluation of Chinese Herbal Medicine Quality and Safety Credit Index Based on TOPSIS

      • Zhi-kang Wang, Hua Guan
      Pages 76-85

  4. Mining Medical Data (II)

    1. Front Matter

      Pages 87-87
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    2. ICU Mortality Prediction Based on Key Risk Factors Identification

      • Rui Tan, Shuai Ding, Jinxin Pan, Yan Qiu
      Pages 89-97

    3. Can Heart Rate Variability Parameters Be a Biomarker for Predicting Motor Function Prognosis in Patients with Chronic Stroke?

      • Xiaoyu Zhang, Xin Li, Haoyang Liu, Guigang Zhang, Chunxiao Xing
      Pages 98-107

    4. Document Recommendation Based on Interests of Co-authors for Brain Science

      • Han Zhong, Zhisheng Huang
      Pages 108-118

  5. EEG and ECG

    1. Front Matter

      Pages 119-119
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    2. Deep Learning for Single-Channel EEG Signals Sleep Stage Scoring Based on Frequency Domain Representation

      • Jialin Wang, Yanchun Zhang, Qinying Ma, Huihui Huang, Xiaoyuan Hong
      Pages 121-133

    3. Improving Understanding of EEG Measurements Using Transparent Machine Learning Models

      • Chris Roadknight, Guanyu Zong, Prapa Rattadilok
      Pages 134-142

    4. Automatic Identification of Premature Ventricular Contraction Using ECGs

      • Hao Chen, Jiaqi Bai, Luning Mao, Jieying Wei, Jiangling Song, Rui Zhang
      Pages 143-155

    5. Automated Detection of First-Degree Atrioventricular Block Using ECGs

      • Luning Mao, Hao Chen, Jiaqi Bai, Jieying Wei, Qiang Li, Rui Zhang
      Pages 156-167
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Other volumes

  1. Health Information Science

Editors and Affiliations

  • Victoria University, Footscray, Australia

    Hua Wang, Siuly Siuly, Yanchun Zhang

  • Swinburne University of Technology, Hawthorn, Australia

    Rui Zhou

  • Instituto de Salud Carlos III, Madrid, Spain

    Fernando Martin-Sanchez

  • Vrije University, Amsterdam, The Netherlands

    Zhisheng Huang

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